Lead Data Engineer

Till vår kund söker vi en Lead Data Engineer Uppdragsbeskrivning Build and evolve the People Data Platform by engineering robust Bronze → Silver → Gold pipelines and implementing governance through Databricks Lakehouse. Deliver high-quality, trusted, and reusable datasets that power analytics at scale and self-service across Group and Business Areas. Model & curate the Gold layer Design dimensional/semantic models (star) that expose consistent business definitions for HR domains (workforce demographics, talent, mobility, retention, EX, etc.). Publish certified, versioned datasets with clear contracts, lineage, and documentation; maintain data dictionaries and business glossaries aligned to forum-approved definitions. Pipelines & data quality Build reliable transformation pipelines (Bronze → Silver → Gold) using Databricks Lakeflow and Azure Data Factory, with unit/integration tests, data quality checks, and automated validation of metrics (e.g., headcount, hires, exits). Implement incremental processing strategies, performance tuning, and cost-aware compute/storage practices for large datasets. Leverage Unity Catalog for governance, lineage, and security across the lakehouse. Collaboration & demand management Translate stakeholder demands into technical specs together with People Analytics Partners and the Group team; work primarily with the IT Product Team during backlog refinement and iteration planning to ensure alignment with platform strategy and technical standards. Partner with BI developers to optimize Power BI datasets and visuals for self-service and analytics products; provide developer handovers and operational runbooks. Operational excellence Monitor adoption, performance, and reliability of Gold datasets; drive continuous improvement based on usage analytics and feedback. Contribute to release management, CI/CD, incident response, and documentation standards. Krav / kvalifikationskriterier Must-have Experience modeling data from Workday, Peakon, or similar HCM/EX/finance sources. Databricks Lakehouse: strong experience with Delta Lake, Lakeflow orchestration, and Unity Catalog for governance and security. Data modeling: experience designing semantic/tabular models for analytics (dimensional modeling, SCD patterns, role-playing dimensions, calculation groups). Pipelines & transformations: hands-on with ELT/ETL frameworks (Azure Data Factory, SQL, Python/PySpark) and orchestrating jobs at scale. Data quality & testing: proficiency in automated testing, validation rules, profiling, and observability for data products. Security & compliance: experience implementing row-level/column-level security, PII protection, retention policies, and GDPR-aligned controls for HR data. Stakeholder collaboration: ability to work with People Analytics Partners and forum stakeholders to turn business demands into robust technical solutions. Nice-to-have Familiarity with medallion architectures, Delta formats, data contracts, and lakehouse patterns. Exposure to ML feature engineering to support downstream data science & research use cases. Knowledge Understanding of HR processes and HR data structures (headcount, movements, org structures, time-to-fill, tenure, EX measures, skills/competency taxonomies). Awareness of ethical frameworks for people analytics and emerging regulations impacting people data. Erfarenhet Level 4 Senior * Knowledge – high generalist competence, or very high competence in the current role. * Experience - has carried out complex tasks within current role and implements * Consulting service with very high quality. * Management – takes primary responsibility for management of a larger group. * Independence – very big. Startdatum : 2026-11-16 Slutdatum : 2027-03-31 Omfattning : 50% Ort : Stockholm Språk : Svenska och Engelska Vi offererar löpande och ärendet kan komma att stängas ner innan satt deadline. Vänligen ansök direkt via vårt system med: - uppdaterat CV - timpris (inkl. omkostnader) - information kring tillgänglighet för att påbörja uppdraget - Kortare motivering där du speglar själva uppdragsbeskrivningen och gör det tydligt hur du uppfyller satta krav från kunden. Lyft gärna 1-2 referensuppdrag som du tror är extra relevanta för det aktuella uppdraget och gör din profil till en god match.